Shehzeen Samarah Hussain

Artificial Intelligence · 2015–2021

A researcher in the Science corpus: 4 papers; trusts 37 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 72 citations into it; #22,789 of 35,345 by trust here, #19,018 by citations
• Signal Processing — 28 citations into it
• Speech & Audio — 19 citations into it
• Computational Theory and Mathematics — 14 citations into it
• Computer Vision and Pattern Recognition — 13 citations into it
• Safety, Robustness & Interpretability — 13 citations into it
• Natural Language Processing — 11 citations into it
• Privacy & Security — 11 citations into it

Whom Shehzeen Samarah Hussain trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Vladimir Kolesnikov
2. Diederik P. Kingma
3. Ronald J. Williams
4. Benny Pinkas
5. Geoffrey E. Hinton
6. Alex Graves
7. Mihir Bellare
8. Thomas Schneider
9. Yan Huang
10. Yoshua Bengio

Who trusts Shehzeen Samarah Hussain overall

1. Marcel Keller
2. Adrià Gascón
3. M. Sadegh Riazi
4. David E. Evans
5. Payman Mohassel
6. Bita Darvish Rouhani
7. Karen Hambardzumyan
8. Ebrahim M. Songhori
9. Phillipp Schoppmann
10. Nitin Agrawal

Papers from Shehzeen Samarah Hussain's perspective

Ordered by how strongly the researchers Shehzeen Samarah Hussain trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Expressive Neural Voice Cloning (2021) — 40 citations
• Adversarial Reprogramming of Text Classification Neural Networks (2018) — 49 citations
• Compacting privacy-preserving k-nearest neighbor search using logic synthesis (2015) — 40 citations
• TinyGarble: Highly Compressed and Scalable Sequential Garbled Circuits (2015) — 236 citations